Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting?

Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting?

Criminal activity poses a significant challenge in urban environments, impacting public safety, economic stability, and overall quality of life. As a result, the efficient allocation of public security resources based on spatio-temporal crime prediction models has become a critical concern for urban...

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Bibliographic Details
Main Authors: Eugenio Cesario, Paolo Lindia, Andrea Vinci
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Crime forecasting
multi-density clustering
crime hotspots
regression analysis
smart cities
crime data mining
Online Access:https://ieeexplore.ieee.org/document/11096550/
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https://ieeexplore.ieee.org/document/11096550/

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